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Applied Digital Signal Processing Theory and Practice

Manolakis Dimitris G. Ingle Vinay K.
Innbundet / 2011 / Engelsk

Produktdetaljer

ISBN
9780521110020
Publisert
2011-11-21
Utgiver
Vendor
Cambridge University Press
Vekt
1750 gr
Høyde
253 mm
Bredde
195 mm
Dybde
41 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
1008

Forfatter
Manolakis Dimitris G.
Ingle Vinay K.

Biographical note

Dimitris G. Manolakis is currently a Member of Technical Staff at MIT Lincoln Laboratory in Lexington, Massachusetts. Prior to this he was a Principal Member of Research Staff at Riverside Research Institute. Since receiving his Ph.D. in Electrical Engineering from the University of Athens in 1981, he has taught at various institutions including Northeastern University, Boston College, and Worcester Polytechnic Institute and co-authored two textbooks on signal processing. His research experience and interests include the areas of digital signal processing, adaptive filtering, array processing, pattern recognition, remote sensing and radar systems. Vinay K. Ingle is currently an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University, where he has worked since 1981 after receiving his Ph.D. in Electrical and Computer Engineering from Rensselaer Polytechnic Institute. He has taught both undergraduate and graduate courses in many diverse areas including systems, signal/image processing, communications and control theory, and has co-authored several textbooks on signal processing. He has broad research experience in the areas of signal and image processing, stochastic processes and estimation theory. Currently he is actively involved in hyperspectral imaging and signal processing.

Applied Digital Signal Processing Theory and Practice

Manolakis Dimitris G. Ingle Vinay K.
Innbundet / 2011 / Engelsk
Manolakis Dimitris G. Ingle Vinay K.
Innbundet / 2011 / Engelsk
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'The primary advantage of this book is the integrated inclusion of MATLAB throughout … in some textbooks the MATLAB components appear to have been added as an afterthought.' Richard M. Dansereau, Carleton University, Ontario

'… a good balance between the depth and clarity of discussion of important topics in DSP and the requirement of mathematical adequacy for the students. This textbook matches with the background of my students.' Yuanwei Jin, University of Hartford, Connecticut

'The innovative figures help students visualise complicated concepts.' Thad B. Welch, Boise State University

Se alle

'A main strength of this book is its inclusion of MATLAB throughout. There are other books that do this, but I think that MATLAB is more integrated in this book than in the competing books. It provides an appropriate amount of information when it is needed, without overwhelming the reader with excessive detail.' Matthew Valenti, West Virginia University

Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors.
Les mer
1. Introduction; 2. Discrete-time signals and systems; 3. The z-transform; 4. Fourier representation of signals; 5. Transform analysis of LTI systems; 6. Sampling of continuous-time signals; 7. The discrete Fourier transform; 8. Computation of the discrete Fourier transform; 9. Structures for discrete-time systems; 10. Design of FIR filters; 11. Design of IIR filters; 12. Multirate signal processing; 13. Random signals; 14. Random signal processing; 15. Finite wordlength effects.
Les mer
'The primary advantage of this book is the integrated inclusion of MATLAB throughout … in some textbooks the MATLAB components appear to have been added as an afterthought.' Richard M. Dansereau, Carleton University, Ontario
Les mer
The basic concepts of digital signal processing are introduced, building on fundamental principles and connecting theory and practice.

Relaterte produkter

'The primary advantage of this book is the integrated inclusion of MATLAB throughout … in some textbooks the MATLAB components appear to have been added as an afterthought.' Richard M. Dansereau, Carleton University, Ontario

'… a good balance between the depth and clarity of discussion of important topics in DSP and the requirement of mathematical adequacy for the students. This textbook matches with the background of my students.' Yuanwei Jin, University of Hartford, Connecticut

'The innovative figures help students visualise complicated concepts.' Thad B. Welch, Boise State University

Se alle

'A main strength of this book is its inclusion of MATLAB throughout. There are other books that do this, but I think that MATLAB is more integrated in this book than in the competing books. It provides an appropriate amount of information when it is needed, without overwhelming the reader with excessive detail.' Matthew Valenti, West Virginia University

Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors.
Les mer
1. Introduction; 2. Discrete-time signals and systems; 3. The z-transform; 4. Fourier representation of signals; 5. Transform analysis of LTI systems; 6. Sampling of continuous-time signals; 7. The discrete Fourier transform; 8. Computation of the discrete Fourier transform; 9. Structures for discrete-time systems; 10. Design of FIR filters; 11. Design of IIR filters; 12. Multirate signal processing; 13. Random signals; 14. Random signal processing; 15. Finite wordlength effects.
Les mer
'The primary advantage of this book is the integrated inclusion of MATLAB throughout … in some textbooks the MATLAB components appear to have been added as an afterthought.' Richard M. Dansereau, Carleton University, Ontario
Les mer
The basic concepts of digital signal processing are introduced, building on fundamental principles and connecting theory and practice.

Produktdetaljer

ISBN
9780521110020
Publisert
2011-11-21
Utgiver
Vendor
Cambridge University Press
Vekt
1750 gr
Høyde
253 mm
Bredde
195 mm
Dybde
41 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
1008

Forfatter
Manolakis Dimitris G.
Ingle Vinay K.

Biographical note

Dimitris G. Manolakis is currently a Member of Technical Staff at MIT Lincoln Laboratory in Lexington, Massachusetts. Prior to this he was a Principal Member of Research Staff at Riverside Research Institute. Since receiving his Ph.D. in Electrical Engineering from the University of Athens in 1981, he has taught at various institutions including Northeastern University, Boston College, and Worcester Polytechnic Institute and co-authored two textbooks on signal processing. His research experience and interests include the areas of digital signal processing, adaptive filtering, array processing, pattern recognition, remote sensing and radar systems. Vinay K. Ingle is currently an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University, where he has worked since 1981 after receiving his Ph.D. in Electrical and Computer Engineering from Rensselaer Polytechnic Institute. He has taught both undergraduate and graduate courses in many diverse areas including systems, signal/image processing, communications and control theory, and has co-authored several textbooks on signal processing. He has broad research experience in the areas of signal and image processing, stochastic processes and estimation theory. Currently he is actively involved in hyperspectral imaging and signal processing.

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